Position Responsibilities:

o A Senior Data Scientist is responsible for building data science and machine learning solutions for our business stakeholders.

o Own a business problem and deliver end-to-end solution by applying advanced Machine Learning algorithms and complex statistical models on large volumes of data.

o Support the team in demonstrating to business skateholders the value of the solution.

o Collabroate with other team members in achieving data science outcomes and handle multiple products and initiatives.

o Follow industry best practices, stay up to date with and extend the state of the art in machine learning research and practice, drive innovation by contributing towards publications and patents.

o Participate in internal technical councils and represent the organization in forums that involve community of data scientists across industry and academia.

o Promote and support company policies, procedures, mission, values, and standards of ethics and integrity.

Position Requirements:

o Excellent knowledge of the foundations of machine learning and statistics and high proficiency in data mining, modeling, validation and insight generation.

o Solid experience working with state-of-the-art supervised and unsupervised machine learning algorithms on real-world problems, preferably in ecommerce and retail domains.

o Strong Python coding skills and flexibility in coding languages, including R.

o Ability to work in big data ecosystem – expert in SQL/Hive and ability to work with Spark.

o Able to understand the business and good stakeholder management capabilities and applies possesses a product mindset when designing solutions

o Understanding of cloud computing platforms and large-scale databases

o Proven ability to collaborate and work in teams and experienced in agile format on data science sprint projects

o Experience should be relevant to the role.

o Educational qualifications should be preferably in statistics or engineering fields such as computer science or a related area.

Mandatory Skills

o Machine Learning, Big Data Skills, Python, R

Additional Qualifications:

o Good to have experience in customer analytics, computer vision or recommendation systems or financial analytics

Years Of Experience: 6 to 10 Years

Education/Qualification: Any Graduate/PG